Thread by @marilia_gehrke

📚10 books to understand data and computational journalism, a thread💻

I have been studying data journalism for the past four years, and, so far, I have collected books and papers that may be very useful to comprehend this topic. #ddj #books #quarantine #AcademicChatter

This time, I will present books, and, to save space, only the title and the name of the author. Except for Precision Journalism, all of them were released recently. Obviously, I did not follow any hierarchy - all these books are equally essential.

Unfortunately, there are only a few women here. There are a lot of incredible girls working with #ddj in newsrooms and independent projects, but I don’t think it works the same way at the university.

💡It is also a collaborative thread, so feel free to add any books you find interesting (I plan to list papers and texts in other languages soon). Leave your comment! #opendata #openscience

1. Precision Journalism (Philip Meyer)
Let’s start with the basics: Meyer argued we should use a scientific approach in journalism. That means reporters would collect their own data and do statistical analysis instead of just asking for official news sources in an investigation.

Meyer’s ideas inspired what we know today as Computer-Assisted Reporting (CAR) or #ddj (Data Journalism or Data-driven Journalism).

2. The Data Journalism Handbook 2 (Edited by @jwyg and @bb_liliana)
If you have no idea what #ddj means, this is your book. You will read about the power of data in journalism stories - both day-to-day articles and investigative projects - and find several examples.

It's free: datajournalism.com/read/handbook/…

3. The Online Journalism Handbook (@paulbradshaw)
Bradshaw is a legit data guru, so I suggest you read everything he writes. He prepared a specific chapter about #ddj in this book. You will find a list of data sources and learn how to interrogate data.
…inejournalismblog.files.wordpress.com/2017/12/data-j…

4. Facts are sacred (@smfrogers)
Rogers shows that journalism uses data for a long time, and the main difference is that today we have a great number of datasets to understand the world - thanks to the amount of public and #opendata available.

Although it would make your life easier, learn how to code is not mandatory - #ddj is still about telling stories.

5. Apostles of certainty (@Chanders)
When and how did journalism become more contextual and explanatory? Anderson examines the role played by facts and data in journalism practice while brings the discussion about objectivity and uncertainty.

This book is insightful, and here is a spoiler: I am still thinking about the "second order objectivity" through structured journalism.

Plus: Read this interview by @_Livia, Ph.D. in Journalism. medium.com/farol-jornalis…

6. Interactive journalism (@nikkiusher)
The way journalists tell stories is changing, and Usher tells us how it worked for NYT and the Pulitzer Prize winner Snow Fall. Interactivity might be found in different forms of journalism, including #ddj.

At this point, professionals may express themselves through code - there is a specific chapter about hacker journalists.

7. Automating the news (@ndiakopoulos)
News is increasingly surrounded and created by algorithms, and it includes every step in journalism chain: production, dissemination, and reception. How do algorithms and automation change the news media?

The author shows how computing is transforming information and knowledge generation in journalism.

8. The social fact (@wihbey)
A great book to think about how data journalism and knowledge production are connected. Social facts emerge every day in our groups, and they influence all news ecosystem in an era of disinformation.

In this networked space, how do we know what remains true? The author also presents data about how professionals see their skills to work with data and statistical analysis.

9. Data Journalism (Edited by John Mair et al.)
The book presents five sections and several texts, and my suggestion for you is to read the piece about #ddj and education.

@Bahareh360 listed the differences one has to have in mind when explains this practice to “already-journalists” and “to-be journalists”. She argues that it is time to include #ddj in all journalism programs across the world.

This text might be particularly interesting for those who already teach in this interdisciplinary field. Plus: @Bahareh360 is one of the organizers of the European Data & Computational Journalism Conference (@datajconf)

10. How chart lies (@AlbertoCairo )
Have you heard of "Visual Trumpery"? The first example of the book is a misleading electoral map presented by Donald Trump out of context.

There are some reasons for the charts to promote misinformation, including insufficient or dubious data and poorly designed graphics. If you are interested in visualizations, this is your intellectual guide.

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